Practical scenarios and operation guide for batch extraction of mobile phone number usernames

In cross-border private domain and social operations, teams often have a large number of mobile phone number resources, but if they cannot quickly extract the corresponding username, it will be difficult to achieve precise contact and subsequent refined operations. Especially at the scale of tens of thousands or even millions of data, manual processing is almost impossible, and specialized tools and methods must be used. This article will combine real business needs and share Extract mobile phone numbers and usernames in batches Common scenarios and complete operation procedures, and introduce digital planet advantages in this link.

Why extract mobile phone numbers and usernames in batches?

1. Build a complete user portrait

The mobile phone number is the entrance, but the username is the core identity of the user in the platform. After extraction, it can be better combined with labels such as interests, activity, and region to form a more accurate user portrait.

2. Improve operational efficiency

Batch extraction can avoid the inefficiency of querying one by one, allowing the team to focus on community operations and conversions.

3. Cross-platform docking

Many times, users have the same mobile phone number but different usernames. Cross-platform lead matching can be quickly completed through batch extraction.

4. Reduce contact waste

When there is only a mobile phone number without a username, repeated contacts or wrong contacts may occur. Batch extraction can reduce this waste.

Typical scenarios for batch extraction of mobile phone number usernames

Cross-border e-commerce marketing

The mobile phone numbers collected during the event need to be extracted in batches and then imported.CRM can achieve precise push and group operations.

Community precipitation management

User names must be quickly extracted from mobile phone numbers accumulated through QR code scanning and activities before they can be imported into group chats and grouped into communities.

Ad serving verification

Import mobile phone numbers collected by advertisements in batches, detect and extract user names, and screen out real and active users to avoid wasting advertising costs.

Cross-platform resource integration

existMobile phone numbers collected by different platforms such as WhatsApp, LINE, and Telegram can be used to integrate resources with one click after extracting user names in batches.

Operation guide: How to extract mobile phone number usernames in batches

Step 1: Number preparation

Organize the collected mobile phone number resources into a standard format (such asCSV/TXT file) for easy unified import.

Step 2: Batch import

Upload the number database to digital planet The platform supports rapid processing of millions of numbers.

Step 3: Automatically extract username

Digital Planet will automatically match the corresponding username and mark invalid numbers and duplicate numbers.

Step 4: Results labeling and classification

The extraction results will automatically be labeled with multi-dimensional labels such as activity, region, gender, etc., making it easy for teams to use directly in groups.

Step 5: Export and apply

Export extraction results with one click, supportCSV/TXT and other formats can be directly connected to mass sending tools or CRM to achieve closed-loop operations.

Advantages of Digital Planet

 Efficient processing: Batch extraction of usernames from millions of mobile phone numbers can be completed in just a few minutes.

 Accurate identification: Not only extracts user names, but also detects invalid and banned accounts at the same time.

 multidimensional labels: Automatically generate activity, region, gender and other labels to provide more dimensions for subsequent operations.

 Results docking: One-click export and import directly into the existing system to avoid secondary processing.

Practical cases

A Southeast Asian cross-border retail team collected 120,000 mobile phone numbers:

lbefore processing: Only the number, it is impossible to confirm which are the real active users.

lProcessing: Extract usernames in batches through Digital Planet and detect22,000 invalid numbers and 15,000 duplicate numbers.

lAfter processing:get 83,000 real and valid mobile phone numbers + username resources, directly importCRM system.

lAchievements: Improved reach rate of follow-up push35%, and the conversion rate increased by 20%.

Best practice recommendations

1.Regular batch processing: It is recommended to extract data in batches once a week or every month to keep the resource library clean.

2.Unified import across channels: Centralized import and extraction of mobile phone numbers from different channels to avoid cross-channel duplication.

3.Filter by tags: While extracting user names, use the label function of Digital Planet to improve the accuracy of subsequent grouping.

4.precipitation database: Precipitate the extracted results into a long-term usable database to support continuous operations.

Conclusion

In cross-border operations,Batch extraction of mobile phone number usernames is a key step from resources to results. It not only ensures that the number is authentic and valid, but also makes the user portrait clearer and the operation more accurate. With the help of digital planet With the batch extraction and detection functions, the team can complete efficient cleaning and extraction in a short time, turning every resource into a high-value user.

If you are facing the problem of matching mobile phone numbers and usernames, you may wish to try the batch extraction function of Digital Planet immediately and receive a free test to achieve a qualitative leap in your reach rate and conversion rate.

 

 

digital planetis a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports customers worldwideBatch numbers for 236 countriesScreening and testing services, currently supports40+ social and apps like:

whatsapp/line, twitter, facebook, Instagram, LinkedIn, Viber, zalo, binance, signal, skype, DISCORD, Amazon, Microsoft, Truemoney, Snapchat, kakao, Wish, GoogleVoice, Botim, MoMo, TikTok, GCash, Fantuan, Airbnb, Cash, VKontakte, Band, Mint, Paytm, VNPay, Moj, DHL, Okx, MasterCard, ICICBank, Bybwait.

The platform has several features includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, precise filtering, duration filtering, power-on filtering, empty number filtering, mobile phone device filteringwait.

Platform providesSelf-screening mode, generation screening mode, fine screening mode and customized mode, to meet the needs of different users.

Its advantage lies in integrating major social networking and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.

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